A formal definition of Big Data based on its essential features
By Andrea De Mauro, Marco Greco, Michele Grimaldi. 2016
754 citations recorded by the source corpus.
Subfields: Information Systems, Information Systems and Management, Management Information Systems
View Paper: https://www.semanticscholar.org/paper/fdd1ccdea15d3000bcf66a45d64d7a243006b021
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Systems
- Lian Duan
- Tanya Y. Berger-Wolf
- Sandeep Kaushik
- Mohit Sharma
- Devis Tuia
- Lida Xu
- Sabyasachi Dash
- Christina Zhu
In Information Systems and Management
In Management Information Systems
Citations in the corpus
- Big Data in Smart Farming – A review (2017, background): “Big Data represents the information assets characterizedbysuchahighvolume,velocityandvarietytorequirespe-ci fi c technology andanalytical methodsforits transformationintovalue (De Mauro et al., 2016).”
- Big data in healthcare: management, analysis and future prospects (2019, background): “Although, other people have added several other Vs to this definition [2], the most accepted 4th V remains ‘veracity’.”
- Perspectives in machine learning for wildlife conservation (2021, background): “Big data Many definitions exist [1], but we cast “big data” as information content for analyses whose volumes are too large to handle for users with conventional hardware.”
- Big Data as a Governance Mechanism (2019, methodology): “A consensual definition of big data is “the information asset characterized by such a high volume, velocity and variety to require specific technology and analytical methods for its transformation into value” (De Mauro et al. 2016, p. 1).”
- Big data for cyber physical systems in industry 4.0: a survey (2019, methodology): “The most-widely used characteristics of Big Data is the ‘ 3 Vs ’ : volume, velocity, and variety (Laney 2001; De Mauro, Greco, and Grimaldi 2016).”